Validating module network learning algorithms using simulated data. - Tom Michoel; Steven Maere; Eric Bonnet; Anagha Joshi; Yvan Saeys; Tim Van den Bulcke; Koenraad Van Leemput; Piet van Remortel; Martin Kuiper; Kathleen Marchal; Yves Van de Peer (BMC Bioinform., 2007)

Analysis of a Gibbs sampler method for model-based clustering of gene expression data. - Anagha Joshi; Yves Van de Peer; Tom Michoel (Bioinform., 2008)

Module networks revisited: computational assessment and prioritization of model predictions. - Anagha Joshi; Riet De Smet; Kathleen Marchal; Yves Van de Peer; Tom Michoel (Bioinform., 2009)

Comparative analysis of module-based versus direct methods for reverse-engineering transcriptional regulatory networks. - Tom Michoel; Riet De Smet; Anagha Joshi; Yves Van de Peer; Kathleen Marchal (BMC Syst. Biol., 2009)

A regression tree-based Gibbs sampler to learn the regulation programs in a transcription regulatory module network. - Jianlong Qi; Tom Michoel; Gregory Butler (CIBCB, 2010)

Prediction of a gene regulatory network linked to prostate cancer from gene expression, microRNA and clinical data. - Eric Bonnet; Tom Michoel; Yves Van de Peer (Bioinform., 2010)

An integrative approach to infer regulation programs in a transcription regulatory module network. - Jianlong Qi; Tom Michoel; Gregory Butler (BCB, 2011)

Applying Linear Models to Learn Regulation Programs in a Transcription Regulatory Module Network. - Jianlong Qi; Tom Michoel; Gregory Butler (EvoBio, 2011)

CyClus3D: a Cytoscape plugin for clustering network motifs in integrated networks. - Pieter Audenaert; Thomas Van Parys; Florian Brondel; Mario Pickavet; Piet Demeester; Yves Van de Peer; Tom Michoel (Bioinform., 2011)

MotifSuite: workflow for probabilistic motif detection and assessment. - Marleen Claeys; Valerie Storms; Hong Sun 002; Tom Michoel; Kathleen Marchal (Bioinform., 2012)

Context-specific transcriptional regulatory network inference from global gene expression maps using double two-way t-tests. - Jianlong Qi; Tom Michoel (Bioinform., 2012)

Alignment and integration of complex networks by hypergraph-based spectral clustering - Tom Michoel; Bruno Nachtergaele (CoRR, 2012)

kruX: matrix-based non-parametric eQTL discovery. - Jianlong Qi; Hassan Asl; Johan Björkegren; Tom Michoel (BMC Bioinform., 2014)

Multi-Species Network Inference Improves Gene Regulatory Network Reconstruction for Early Embryonic Development in Drosophila. - Anagha Joshi; Yvonne Beck; Tom Michoel (J. Comput. Biol., 2015)

Integrative Multi-omics Module Network Inference with Lemon-Tree. - Eric Bonnet; Laurence Calzone; Tom Michoel (PLoS Comput. Biol., 2015)

Natural coordinate descent algorithm for L1-penalised regression in generalised linear models. - Tom Michoel (Comput. Stat. Data Anal., 2016)

Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data. - Lingfei Wang; Tom Michoel (PLoS Comput. Biol., 2017)

Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net. - Tom Michoel (NeurIPS, 2018)

Model-based clustering of multi-tissue gene expression data. - Pau Erola; Johan Björkegren; Tom Michoel (Bioinform., 2020)

Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders. - Muhammad Ammar Malik; Tom Michoel (CoRR, 2020)

Predicting gene expression from network topology using graph neural networks. - Ramin Hasibi; Tom Michoel (CoRR, 2020)

High-Dimensional Multi-trait GWAS By Reverse Prediction of Genotypes Using Machine Learning Methods. - Muhammad Ammar Malik; Adriaan-Alexander Ludl; Tom Michoel (CIBB, 2021)

A Graph Feature Auto-Encoder for the prediction of unobserved node features on biological networks. - Ramin Hasibi; Tom Michoel (BMC Bioinform., 2021)

Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds. - Dariush Salami; Ramin Hasibi; Sameera Palipana; Petar Popovski; Tom Michoel; Stephan Sigg (CoRR, 2021)

Integrating Sensing and Communication in Cellular Networks via NR Sidelink. - Dariush Salami; Ramin Hasibi; Stefano Savazzi; Tom Michoel; Stephan Sigg (CoRR, 2021)

High-dimensional multi-trait GWAS by reverse prediction of genotypes. - Muhammad Ammar Malik; Adriaan-Alexander Ludl; Tom Michoel (CoRR, 2021)

rfPhen2Gen: A machine learning based association study of brain imaging phenotypes to genotypes. - Muhammad Ammar Malik; Alexander Selvikvåg Lundervold; Tom Michoel (CoRR, 2022)

Causal inference in drug discovery and development. - Tom Michoel; Jitao David Zhang (CoRR, 2022)

Tesla-Rapture: A Lightweight Gesture Recognition System From mmWave Radar Sparse Point Clouds. - Dariush Salami; Ramin Hasibi; Sameera Palipana; Petar Popovski; Tom Michoel; Stephan Sigg (IEEE Trans. Mob. Comput., 2023)